Modern Artificial Intelligence & Robotics Applications
Why this class?
This course is designed as an advanced-placement level course for entry-level modern artificial intelligence theory, with broad introduction to image processing, computer vision, deep learning, and robotics applications. Built on top university AI courses, we have created an engaging learning experience letting students to effectively learn modern AI theory and programming skills from algorithm design to Python coding to controlling and racing autonomous cars in most advanced autonomous driving simulation. Through our course lectures and companion lab sessions, students will learn to put their knowledge to test in fun, real-world games and competitions.
The 40-hour curriculum will be taught in 20 lecture sessions and 20 lab sessions. Each session offers well-paced and balanced teaching material on three pillars of the course: AI theory and algorithms, Python coding, and hands-on 1/10
Learning the history of AI from classical algorithms to deep neural network
Dedicated hands-on sessions for each student to build a 1/10 autonomous car
We make learning exciting allowing students to race their own AI-driven cars